About This Gig Project Overview In this project, I'll make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. I'll write code to import the data and answer interesting questions about it by computing descriptive statistics. I'II also write a script that takes in raw input to create an interactive experience in the terminal to present these statistics. Project Details Over the past decade, bicycle-sharing systems have been growing in number and popularity in cities across the world. Bicycle-sharing systems allow users to rent bicycles on a very short-term basis for a price. This allows people to borrow a bike from point A and return it at point B, though they can also return it to the same location if they`d like to just go for a ride. Regardless, each bike can serve several users per day. In this project, I'll use data provided by Motivate, a bike share system provider for many major cities in the United States, to uncover bike share usage patterns. You will compare the system usage between three large cities: Chicago, New York City, and Washington, DC.